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Design and Evaluation of AFS and ARS Controllers with Sliding Mode Control and Fuzzy Logic Control Method

Sliding Mode Control 및 Fuzzy Logic Control 방법을 이용한 AFS 및 ARS 제어기 설계 및 성능 평가

  • Song, Jeonghoon (Department of Mechatronics Engineering, Tongmyong University)
  • 송정훈 (동명대학교 메카트로닉스공학과)
  • Received : 2012.03.05
  • Accepted : 2012.08.20
  • Published : 2013.03.01

Abstract

This study is to develop and evaluate an AFS and an ARS controllers to enhance lateral stability of a vehicle. A sliding mode control (SMC) and a fuzzy logic control (FLC) methods are applied to calculate the desired additional steering angle of AFS equipped vehicle or desired rear steer angle of ARS equipped vehicle. To validate AFS and ARS systems, an eight degree of freedom, nonlinear vehicle model and an ABS controllers are also used. Several road conditions are used to test the performances. The results showed that the yaw rate of the AFS and the ARS vehicle followed the reference yaw rate very well within the adhesion limit. However, the AFS improves the lateral stability near the limit compared with the ARS. Because the SMC and the FLC show similar vehicle responses, performance discrimination is small. On split-${\mu}$ road, the AFS and the ARS vehicle had enhanced the lateral stability.

Keywords

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